Retency
Privacy technology

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Our unique offer

With Retency, protect the privacy
of databases and users

Retency unique de-identification technology allows to perform cross-analyses of databases held by separate parties, while guaranteeing perfect database protection and total personal data privacy and GDPR compliance.

Our unique offer

A safe, accurate and universal solution

Accurate

Differentially Private output dataset delivers same analytics & AI training accuracy as non-private join on raw data

Universal

Works on any type of personal data, compatible with any analytics & AI package and lets you use your existing tools

Protects the user

Join is performed on Differentially Private aggregates which contain no personal data


Compliant

Officially validated as fully compliant to GDPR deep anonymization criteria

Easy and powerful

Available a SAAS Cloud solution with easy and safe integration to your datalake. Works effortlessly on 100M+ lines databases

Safe

Provides superior protection to your data, when associated to third-party databases. Your raw data remains within your perimeter and nobody views it


Areas we serve

Multiple applications

For fraud prediction & risk management, Retency expands the footprint of privately and compliantly usable personal data, and combine various data sources, internal and third-party

Insurance and banking

Advertising optimization: combine multi channel exposure data with purchase information with no user consent needed

Marketing

Public transport and smart city planning: use multiple sources of personnal data for a complete view of public usages

Smart cities



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How it works

Our technology

Retency Privacy Engine transforms raw data sets into Differentially Private aggregates that can be cross-analyzed to generate a combined, joined database
When performance matters

Why choose us

Best privacy technology

Based on a best-in-class Private Set Intersection algorithm, Retency Privacy Engine delivers far superior privacy protection and regulatory compliance than commonly used techniques such as pseudonymization, noise addition or generalization.

High accuracy

Consolidated data resulting from Retency Private Join provides same training accuracy as datasets resulting from non-private joins.

Easy to integrate

Retency Privacy Engine is available as a SAAS solution. Easy interface and numerous connectors ensure fast and easy integration to your dataflow.


Compliance

The deep anonymization technology running Retency Privacy Engine was validated by the French privacy regulator as compliant to European Community G29 deep anonymization criteria.

Processes any type of data

Retency Privacy Engine processes any type of personal data: purchasing, advertising, health, insurance, banking, etc.

Efficient

Retency Private Join is approx. 500 times more efficient than homomorphic join algorithms, and processes easily very large data sets (10M+ lines).